It was a nice course. Though it covers basics. A follow-up advanced specilization can be made. Overall, it's sufficient for beginner for an engineer trying to learn application of AI for medical field
Throughout this course, I was able to understand the different medical and deep learning terminology used. Definitely a good course to understand the basic of image classification and segmentation!
创建者 Kabakov B•
It is so much better than courses from NLP specialization. But still too many "translate well-known formulae to python code" tasks.
创建者 Praneet S•
last assignment of week 3 of this course is quite difficult to understand so I feel few more explanation should be mentioned
创建者 Taiki H•
More detailed skills like data converion would be desirable, but still good starting point for beginners. Thanks!
创建者 Leon C•
Very interesting theory. It could be more in-depth, and the notebooks with autograder contain some bugs.
创建者 Aldemar F V•
Bueno el curso, los materiales. Por mejorar, que no hay buen seguimiento del avance de los estudiantes.
创建者 Faisal R•
great course But not For the Pharmacy Student because You have to Know The Code Knowledge
创建者 Dishant S•
The last coding exercise is quite lengthy and difficult, and the videos are too short
创建者 MD M R S•
Liked this course. But some topics were not explained well. Like ROC curve
创建者 Alex K•
Great course, I wished some content could have been covered more in depth
Best course for AI for medical diagnosis please do the pre-requisite.
创建者 Abbas A K•
it was better to have more detail of loss functions for segmentation
创建者 Srinadh R B•
As a case study for deep learning, this course helps us a lot.
创建者 Josh B•
They started diving deeper towards the end of the course.
创建者 Zabirul i•
Need to more clarify the notebook content in videos.
创建者 Sakshat R•
Really nice and well-explained
创建者 Michel F•
Last assignment was insane.
创建者 Pham N H•
The problem is quite easy
创建者 Mimi C•
The course is too basic.
创建者 Muntaha S•
创建者 Abdalkarem I F•
创建者 Jakub V•
This is interesting topic and I learnt how these things are done in medicine. However, from technical point of view, there are many issues. Bugs, typos, unexplained terms (dear learner, now please calculate background ratio) make this course messy and leaves the taste of "rushed product of corona crisis".
创建者 Volodymyr F•
The course is very shallow. It explains in detail some simple concepts like Sensitivity and Specificity and then immediately touches complex topics like image recognition architectures, without much explanation. The course materials are unclear and the auto-grader is buggy.
创建者 Amina K•
Instructions in the graded assignment did not have clear instructions. Sometimes, correct implementation was graded 'incorrect' by the grader. Also, videos of the ROC curve was not clear about why it is needed or what does it say about a model.
创建者 Tasneem. A•
i took this course then realised it is beyond my understanding. I am a grade 12 student . please help me to cancel this ,so, i can take another course which can benefit me.
i will appreciate your help.